Exploration of a Bayesian Updating Tool to Provide Real-Time Safety Monitoring for New Medical Devices. - Michael E. Matheny; Lucila Ohno-Machado; Frederic S. Resnic (AMIA, 2005)

Evaluating the Discriminatory Power of a Computer-based System for Assessing Penetrating Trauma on Retrospective Multi-Center Data. - Michael E. Matheny; Omolola Ogunyemi; Phillip L. Rice; John R. Clarke (AMIA, 2005)

Discrimination and calibration of mortality risk prediction models in interventional cardiology. - Michael E. Matheny; Lucila Ohno-Machado; Frederic S. Resnic (J. Biomed. Informatics, 2005)

Research Paper: Monitoring Device Safety in Interventional Cardiology. - Michael E. Matheny; Lucila Ohno-Machado; Frederic S. Resnic (J. Am. Medical Informatics Assoc., 2006)

Rare Adverse Event Monitoring of Medical Devices with the Use of an Automated Surveillance Tool. - Michael E. Matheny; Nipun Arora; Lucila Ohno-Machado; Frederic S. Resnic (AMIA, 2007)

Effects of SVM parameter optimization on discrimination and calibration for post-procedural PCI mortality. - Michael E. Matheny; Frederic S. Resnic; Nipun Arora; Lucila Ohno-Machado (J. Biomed. Informatics, 2007)

Research Paper: A Randomized Trial of Electronic Clinical Reminders to Improve Medication Laboratory Monitoring. - Michael E. Matheny; Thomas D. Sequist; Andrew C. Seger; Julie M. Fiskio; Michael Sperling; Donald Bugbee; David W. Bates; Tejal K. Gandhi (J. Am. Medical Informatics Assoc., 2008)

Detection of Blood Culture Bacterial Contamination using Natural Language Processing. - Michael E. Matheny; Fern FitzHenry; Theodore Speroff; Jacob Hathaway; Harvey J. Murff; Steven H. Brown; Elliot M. Fielstein; Robert S. Dittus; Peter L. Elkin (AMIA, 2009)

Research Paper: Impact of Non-interruptive Medication Laboratory Monitoring Alerts in Ambulatory Care. - Helen G. Lo; Michael E. Matheny; Diane L. Seger; David W. Bates; Tejal K. Gandhi (J. Am. Medical Informatics Assoc., 2009)

A comparison of methods for assessing penetrating trauma on retrospective multi-center data. - Bilal A. Ahmed; Michael E. Matheny; Phillip L. Rice; John R. Clarke; Omolola Ogunyemi (J. Biomed. Informatics, 2009)

Evaluation of an automated safety surveillance system using risk adjusted sequential probability ratio testing. - Michael E. Matheny; Sharon-Lise T. Normand; Thomas P. Gross; Danica Marinac-Dabic; Nilsa Loyo-Berrios; Venkatesan D. Vidi; Sharon Donnelly; Frederic S. Resnic (BMC Medical Informatics Decis. Mak., 2011)

Data Harmonization Barriers for Post Marketing Surveillance of Medications. - Fern FitzHenry; Frederic S. Resnic; Arijit Basu; Susan Robbins; Kenneth Nunes; Robert E. El-Kareh; Grace Kuo; Michael E. Matheny (AMIA, 2012)

Evaluation of the RapTAT Automated Annotation System for Identifying Post-Traumatic Stress Disorder-Related Concepts in Clinical Notes. - Glenn T. Gobbel; Ruth M. Reeves; Shrimalini Jayaramaraja; Svetlana K. Eden; Fern FitzHenry; Theodore Speroff; Steven H. Brown; Stephen Luther; Maryan Zirkle; Dezon Finch; James A. McCart; Michael E. Matheny (AMIA, 2012)

National Post-Marketing Surveillance of Embolic Protection Devices in the Veterans Administration CART Program. - Michael E. Matheny; Fern FitzHenry; Arijit Basu; Susan Robbins; Richard Cope; Mary Plomondon; Thomas Maddox; Thomas Tsai; John Rumsfeld; Frederic S. Resnic (AMIA, 2012)

Developing the Veterans Health Administration ETL for the OMOP Common Data Model Version 3. - Lalit Nookala; Michael E. Matheny; Frederic S. Resnic; Susan Robbins; Fern FitzHenry (AMIA, 2012)

Who Said It? Establishing Professional Attribution among Authors of Veterans' Electronic Health Records. - Ruth M. Reeves; Fern FitzHenry; Steven H. Brown; Kristen Kotter; Glenn T. Gobbel; Diane Montella; Harvey J. Murff; Theodore Speroff; Michael E. Matheny (AMIA, 2012)

Developing an Integrated Temporal Reasoning System with TimeML and UMLS Concepts. - Ruth M. Reeves; Zhao Zou; Glenn T. Gobbel; Shrimalini Jayaramaraja; Steven H. Brown; Michael E. Matheny; Theodore Speroff (AMIA, 2012)

Detecting Adverse Drug Reactions Using Inpatient Medication Orders and Laboratory Tests Data. - Mei Liu; Michael E. Matheny; Yonghui Wu; Eugenia R. McPeek Hinz; Joshua C. Denny; Jonathan S. Schildcrout; Randolph A. Miller; Hua Xu 001 (HISB, 2012)

Detection of infectious symptoms from VA emergency department and primary care clinical documentation. - Michael E. Matheny; Fern FitzHenry; Theodore Speroff; Jennifer K. Green; Michelle L. Griffith; Eduard E. Vasilevskis; Elliot M. Fielstein; Peter L. Elkin; Steven H. Brown (Int. J. Medical Informatics, 2012)

Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs. - Mei Liu; Yonghui Wu; Yukun Chen 001; Jingchun Sun; Zhongming Zhao; Xue-wen Chen 001; Michael E. Matheny; Hua Xu 001 (J. Am. Medical Informatics Assoc., 2012)

iDASH: integrating data for analysis, anonymization, and sharing. - Lucila Ohno-Machado; Vineet Bafna; Aziz A. Boxwala; Brian E. Chapman; Wendy Webber Chapman; Kamalika Chaudhuri; Michele E. Day; Claudiu Farcas; Nathaniel D. Heintzman; Xiaoqian Jiang; Hyeoneui Kim; Jihoon Kim 001; et al. (J. Am. Medical Informatics Assoc., 2012)

Data mining methodologies for pharmacovigilance. - Mei Liu; Michael E. Matheny; Yong Hu 002; Hua Xu 001 (SIGKDD Explor., 2012)

Use and Evaluation of RapTAT-Assisted Annotation for Extraction of Acute Kidney Injury Concepts from Clinical Free Text. - Glenn T. Gobbel; Ruth M. Reeves; Fern FitzHenry; Diane Montella; Robert M. Cronin; Shrimalini Jayaramaraja; Theodore Speroff; Steven H. Brown; Dario A. Giuse; Michael E. Matheny (AMIA, 2013)

Methods for Detection of Kidney Disease Risk Factors in Clinical Reports. - Ruth M. Reeves; Glenn T. Gobbel; Shrimalini Jayaramaraja; Fern FitzHenry; Robert M. Cronin; Theodore Speroff; Michael E. Matheny (AMIA, 2013)

Detecting temporal expressions in medical narratives. - Ruth M. Reeves; Ferdo R. Ong; Michael E. Matheny; Joshua C. Denny; Dominik Aronsky; Glenn T. Gobbel; Diane Montella; Theodore Speroff; Steven H. Brown (Int. J. Medical Informatics, 2013)

Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records. - Mei Liu; Eugenia Renne McPeek Hinz; Michael Edwin Matheny; Joshua C. Denny; Jonathan Scott Schildcrout; Randolph A. Miller; Hua Xu 001 (J. Am. Medical Informatics Assoc., 2013)

Development of a Cirrhosis-Associated Symptom/Finding Detection Tool. - Jejo Koola; Robert M. Cronin; Ruth M. Reeves; Jason N. Denton; Samuel B. Ho; Michael E. Matheny (AMIA, 2014)

Research and applications: Assisted annotation of medical free text using RapTAT. - Glenn T. Gobbel; Jennifer H. Garvin; Ruth M. Reeves; Robert M. Cronin; Julia Heavirland; Jenifer Williams; Allison Weaver; Shrimalini Jayaramaraja; Dario A. Giuse; Theodore Speroff; Steven H. Brown; Hua Xu 001; et al. (J. Am. Medical Informatics Assoc., 2014)

Determining molecular predictors of adverse drug reactions with causality analysis based on structure learning. - Mei Liu; Ruichu Cai; Yong Hu 002; Michael E. Matheny; Jingchun Sun; Jun Hu; Hua Xu 001 (J. Am. Medical Informatics Assoc., 2014)

Brief communication: pSCANNER: patient-centered Scalable National Network for Effectiveness Research. - Lucila Ohno-Machado; Zia Agha; Douglas S. Bell; Lisa Dahm; Michele E. Day; Jason N. Doctor; Davera Gabriel; Maninder K. Kahlon; Katherine K. Kim; Michael A. Hogarth; Michael E. Matheny; Daniella Meeker; et al. (J. Am. Medical Informatics Assoc., 2014)

Development and evaluation of RapTAT: A machine learning system for concept mapping of phrases from medical narratives. - Glenn T. Gobbel; Ruth M. Reeves; Shrimalini Jayaramaraja; Dario A. Giuse; Theodore Speroff; Steven H. Brown; Peter L. Elkin; Michael E. Matheny (J. Biomed. Informatics, 2014)

Transforming the National Department of Veterans Affairs Data Warehouse to the OMOP Common Data Model. - Fern FitzHenry; Jesse Brannen; Jason N. Denton; Jonathan R. Nebeker; Scott L. DuVall; Freneka F. Minter; Jeffrey Scehnet; Brian C. Sauer; Lucila Ohno-Machado; Michael E. Matheny (AMIA, 2015)

RapTAT: A Tool for Assisted Annotation and Reviewer Training via Online Machine Learning. - Glenn T. Gobbel; Ruth M. Reeves; Brett R. South; Wendy W. Chapman; Jay Jarman; Steven Lay; Michael E. Matheny (AMIA, 2015)

A Novel Visualization for Rapid Summarization of Patient History: Application to Cirrhosis. - Jejo Koola; Samuel B. Ho; Michael E. Matheny (AMIA, 2015)

National Veterans Health Administration inpatient risk stratification models for hospital-acquired acute kidney injury. - Robert M. Cronin; Jacob P. VanHouten; Edward D. Siew; Svetlana K. Eden; Stephan D. Fihn; Christopher D. Nielson; Josh F. Peterson; Clifton R. Baker; T. Alp Ikizler; Theodore Speroff; Michael E. Matheny (J. Am. Medical Informatics Assoc., 2015)

A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research. - Daniella Meeker; Xiaoqian Jiang; Michael E. Matheny; Claudiu Farcas; Michel D'Arcy; Laura Pearlman; Lavanya Nookala; Michele E. Day; Katherine K. Kim; Hyeoneui Kim; Aziz A. Boxwala; Robert E. El-Kareh; et al. (J. Am. Medical Informatics Assoc., 2015)

Informatics Challenges in Working with "Big Data" - A Use Case in Identifying Predictors of Constipation. - Fern FitzHenry; Svetlana K. Eden; Jason N. Denton; Robert J. LoCasale; Hui Cao; Aize Cao; Ruth M. Reeves; Nancy L. Wells; Michael E. Matheny (AMIA, 2016)

Workflow-guided development of a clinical decision support tool for patients with advanced liver disease. - Samuel B. Ho; Julie Ducom; Anne Miller; Jennifer H. Garvin; Jejo D. Koola; Russ Beebe; Jason M. Slagle; Dax M. Westerman; Carrie Reale; Matthew B. Weinger; Erik Groessl; Michael E. Matheny (AMIA, 2016)

An Electronic Health Record Phenotyping Algorithm for Identifying Patients with Hepatorenal Syndrome. - Jejo Koola; Samuel B. Ho; Michael E. Matheny (AMIA, 2016)

Using Results of Statistical Text Mining in Big Data Analysis. - Stephen L. Luther; James A. McCart; Dezon Finch; Lina Bouayad; William Lapcevic; Michael E. Matheny (AMIA, 2016)

An Integrated Privacy Preserving Collaborative Analytics Platform: The PCORnet pSCANNER-PopMedNet TM Software Suite. - Michael E. Matheny; Dax M. Westerman; Laura Pearlman; Josh Gieringer; Xiaoqian Jiang; Claudiu Farcas; Tara K. Knight; Shuang Wang 002; Amy Perkins; Lucila Ohno-Machado; Bill Clarke; Daniella Meeker (AMIA, 2016)

Calibration of Predictive Models for Clinical Decision Making: Personalizing Prevention, Treatment, and Disease Progression. - Lucila Ohno-Machado; George Hripcsak; Michael E. Matheny; Yuan Wu 003; Xiaoqian Jiang (AMIA, 2016)

Event Coreference in Support of Temporal Reasoning in Mental Health Notes. - Ruth M. Reeves; Marcus Verhagen; Cynthia Brandt; Wendy W. Chapman; Michael E. Matheny; Steven H. Brown; Brian Marx; Theodore Speroff (AMIA, 2016)

The Discriminative Power of Non-Specific Laboratory Results. - Jacob P. VanHouten; Christopher Fonnesbeck; Michael E. Matheny; Thomas A. Lasko (AMIA, 2016)

Calibration Drift of Clinical Prediction Models Across Modeling Methods. - Sharon E. Davis; Thomas A. Lasko; Guanhua Chen 002; Michael E. Matheny (CRI, 2016)

Using a Multilayer Self-Organizing Map for Risk Prediction in Hepatorenal Syndrome. - Jejo D. Koola; Sharon E. Davis; Samuel B. Ho; Michael E. Matheny (CRI, 2016)

Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality. - Sharon E. Davis; Thomas A. Lasko; Guanhua Chen 002; Michael E. Matheny (AMIA, 2017)

Machine Learning Models to Predict Readmission for Patients with Cirrhosis. - Jejo D. Koola; Aize Cao; Guanhua Chen 002; Amy Perkins; Samuel B. Ho; Sharon E. Davis; Michael E. Matheny (AMIA, 2017)

Natural Language Data Sampling: Principles & Strategies in Corpus Selection. - Ruth M. Reeves; Nancy H. Gentry; Fern FitzHenry; Glenn T. Gobbel; Michael E. Matheny (AMIA, 2017)

Strategic Assessment and Planning for the PCORnet Common Data Model. - Ania Berchuck; Michael G. Kahn; Shelley A. Rusincovitch; Daniella Meeker; Shawn N. Murphy; Ravi Bhosale; Keith Marsolo; Michael E. Matheny; L. Russell Waitman; Rachel Hess (CRI, 2017)

Heart Failure Data for Patient Treatment Goals at the Point of Care: Automated Data Extraction and Consistent Reference Standard Importance. - Stéphane M. Meystre; Youngjun Kim; Glenn T. Gobbel; Michael E. Matheny; Andrew Redd; Bruce E. Bray; Jennifer H. Garvin (CRI, 2017)

The Building Blocks of Inter-operability. - Adam Culbertson; Satyender Goel; Margaret B. Madden; Niloufar Safaeinili; Kathryn L. Jackson; Thomas Carton; Russ Waitman; Mei Liu; Ashok Krishnamurthy; Lauren Hall; Nickie Cappella; Shyam Visweswaran; et al. (Appl. Clin. Inform., 2017)

Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports. - Ruichu Cai; Mei Liu; Yong Hu 002; Brittany Melton; Michael E. Matheny; Hua Xu 001; Lian Duan; Lemuel R. Waitman (Artif. Intell. Medicine, 2017)

Calibration drift in regression and machine learning models for acute kidney injury. - Sharon E. Davis; Thomas A. Lasko; Guanhua Chen 002; Edward D. Siew; Michael E. Matheny (J. Am. Medical Informatics Assoc., 2017)

Congestive heart failure information extraction framework for automated treatment performance measures assessment. - Stéphane M. Meystre; Youngjun Kim; Glenn T. Gobbel; Michael E. Matheny; Andrew Redd; Bruce E. Bray; Jennifer H. Garvin (J. Am. Medical Informatics Assoc., 2017)

Developing a Testing Procedure to Select Model Updating Methods. - Sharon E. Davis; Robert A. Greevy Jr.; Michael E. Matheny (AMIA, 2018)

The Department of Defense (DoD) and Department of Veterans Affairs (VA) Infrastructure for Clinical Intelligence (DaVINCI). - Scott L. DuVall; Michael E. Matheny; Ildar R. Ibragimov; Trey D. Oats; Jay N. Tucker; Brett R. South; Augie Turano; Hamid Saoudian; Casey Kangas; Keith D. Hofmann; Wendy Funk; Chris Nichols; et al. (AMIA, 2018)

Annotating Social Determinants of Health and Functional Status Information Using Publicly Accessible Corpora. - Ruth M. Reeves; Brett R. South; Glenn T. Gobbel; Lee M. Christensen; Paul Thompson; Wendy W. Chapman; Michael E. Matheny; Jeremiah R. Brown (AMIA, 2018)

Flipping the Model for Biomedical Informatics Research. - Brett R. South; Kristine W. Lynch; Michael E. Matheny; Julie A. Lynch; Olga Efimova; Catherine Chanfreau-Coffinier; Olga V. Patterson; Benjamin Viernes; Scott L. DuVall (AMIA, 2018)

Integrating Cancer Genomic Data into Decision Support at the VA: Hematologic Oncology as a Use Case. - Dax M. Westerman; Fern FitzHenry; Michael E. Matheny; Michele L. LeNoue-Newton; Claudio A. Mosse; Ian Maurer; Matthew Stachowiak; Justin A. Yeakley; James Cole; Regina M. Thomas; Mia A. Levy (AMIA, 2018)

Application of contextual design methods to inform targeted clinical decision support interventions in sub-specialty care environments. - Anne Miller; Jejo D. Koola; Michael E. Matheny; Julie Ducom; Jason M. Slagle; Erik Groessl; Freneka F. Minter; Jennifer H. Garvin; Matthew B. Weinger; Samuel B. Ho (Int. J. Medical Informatics, 2018)

Perfectly Secure and Efficient Two-Party Electronic-Health-Record Linkage. - Feng Chen 016; Xiaoqian Jiang; Shuang Wang 002; Lisa M. Schilling; Daniella Meeker; Toan Ong; Michael E. Matheny; Jason N. Doctor; Lucila Ohno-Machado; Jaideep Vaidya (IEEE Internet Comput., 2018)

Automated mapping of laboratory tests to LOINC codes using noisy labels in a national electronic health record system database. - Sharidan K. Parr; Matthew S. Shotwell; Alvin D. Jeffery; Thomas A. Lasko; Michael E. Matheny (J. Am. Medical Informatics Assoc., 2018)

Development of an automated phenotyping algorithm for hepatorenal syndrome. - Jejo D. Koola; Sharon E. Davis; Omar Al-Nimri; Sharidan K. Parr; Daniel Fabbri; Bradley A. Malin; Samuel B. Ho; Michael E. Matheny (J. Biomed. Informatics, 2018)

Developing Synthetic VA Healthcare Data in OMOP CDM Model. - Jiantao Bian; Hamid Saoudian; Brett R. South; Kristine E. Lynch; Benjamin Viernes; Michael E. Matheny; Scott L. DuVall (AMIA, 2019)

Comparison of Prediction Model Performance Updating Protocols: Using a Data-Driven Testing Procedure to Guide Updating. - Sharon E. Davis; Robert A. Greevy Jr.; Thomas A. Lasko; Colin G. Walsh; Michael E. Matheny (AMIA, 2019)

Mapping Medications to Standards with Machine Learning and Noisy Labels. - Alvin D. Jeffery; Sharidan K. Parr; Michael E. Matheny (AMIA, 2019)

Longitudinal modeling of prescription refill records to predict medication use. - Kimberley Kondratieff; Candace D. McNaughton; Michael E. Matheny; Thomas A. Lasko (AMIA, 2019)

Value Set Development for Studies Involving Historical Data. - Kristin Lyman; Melanie Canterberry; Elizabeth Crull; Jason Denton; Fern FitzHenry; Qiaohong Hu; Sharidan K. Parr; Amy Perkins; Dina Zein; Michael E. Matheny; Jason N. Doctor; Daniella Meeker (AMIA, 2019)

A Tale of Two Databases: The DoD and VA Infrastructure for Clinical Intelligence (DaVINCI). - Scott L. DuVall; Michael E. Matheny; Ildar R. Ibragimov; Trey D. Oats; Jay N. Tucker; Brett R. South; Augie Turano; Hamid Saoudian; Casey Kangas; Keith D. Hofmann; Wendy Funk; Chris Nichols; et al. (MedInfo, 2019)

Incrementally Transforming Electronic Medical Records into the Observational Medical Outcomes Partnership Common Data Model: A Multidimensional Quality Assurance Approach. - Kristine E. Lynch; Stephen A. Deppen; Scott L. DuVall; Benjamin Viernes; Aize Cao; Daniel Park; Elizabeth Hanchrow; Kushan Hewa; Peter Greaves; Michael E. Matheny (Appl. Clin. Inform., 2019)

A nonparametric updating method to correct clinical prediction model drift. - Sharon E. Davis; Robert A. Greevy Jr.; Christopher Fonnesbeck; Thomas A. Lasko; Colin G. Walsh; Michael E. Matheny (J. Am. Medical Informatics Assoc., 2019)

Prognostic models will be victims of their own success, unless... - Matthew C. Lenert; Michael E. Matheny; Colin G. Walsh (J. Am. Medical Informatics Assoc., 2019)

Explicit causal reasoning is preferred, but not necessary for pragmatic value. - Matthew C. Lenert; Michael E. Matheny; Colin G. Walsh (J. Am. Medical Informatics Assoc., 2019)

A Surveillance Framework for Monitoring and Updating Clinical Prediction Models. - Sharon E. Davis; Robert A. Greevy Jr.; Thomas A. Lasko; Colin G. Walsh; Michael E. Matheny (AMIA, 2020)

Pain Management Collaboratory Coordinating Center (PMC3): Insights from Multiple Work Groups for Clinical Research Informatics Support. - Michael E. Matheny; Stephen L. Luther; William T. Roddy; Cynthia Brandt; Joseph J. Erdos (AMIA, 2020)

Efficient determination of equivalence for encrypted data. - Jason N. Doctor; Jaideep Vaidya; Xiaoqian Jiang; Shuang Wang 002; Lisa M. Schilling; Toan Ong; Michael E. Matheny; Lucila Ohno-Machado; Daniella Meeker (Comput. Secur., 2020)

COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes. - Xiao Dong; Jianfu Li; Ekin Soysal; Jiang Bian 001; Scott L. DuVall; Elizabeth Hanchrow; Hongfang Liu; Kristine E. Lynch; Michael E. Matheny; Karthik Natarajan; Lucila Ohno-Machado; Serguei Pakhomov; et al. (J. Am. Medical Informatics Assoc., 2020)

Detection of calibration drift in clinical prediction models to inform model updating. - Sharon E. Davis; Robert A. Greevy Jr.; Thomas A. Lasko; Colin G. Walsh; Michael E. Matheny (J. Biomed. Informatics, 2020)

Disparities in Coded and Imputed Post-Traumatic Stress Disorder and Self-Harm Among US Veterans. - Sharon E. Davis; Praveen Kumar; Nicolas R. Lauve; Sharidan K. Parr; Daniel Park; Michael E. Matheny; Gerardo Villarreal; George Uhl; Yiliang Zhu 001; Mauricio Tohen; Douglas J. Perkins; Christophe G. Lambert (AMIA, 2021)

Intrinsic Evaluation of Contextual and Non-contextual Word Embeddings using Radiology Reports. - Mirza S. Khan; Bennett A. Landman; Stephen A. Deppen; Michael E. Matheny (AMIA, 2021)

Privacy-protecting, reliable response data discovery using COVID-19 patient observations. - Jihoon Kim 001; Larissa Neumann; Paulina Paul; Michele E. Day; Michael Aratow; Douglas S. Bell; Jason N. Doctor; Ludwig Christian G. Hinske; Xiaoqian Jiang; Katherine K. Kim; Michael E. Matheny; Daniella Meeker; et al. (J. Am. Medical Informatics Assoc., 2021)

Enhancing trust in AI through industry self-governance. - Joachim Roski; Ezekiel J. Maier; Kevin Vigilante; Elizabeth A. Kane; Michael E. Matheny (J. Am. Medical Informatics Assoc., 2021)

Adaptation of an NLP system to a new healthcare environment to identify social determinants of health. - Ruth M. Reeves; Lee M. Christensen; Jeremiah R. Brown; Michael Conway; Maxwell Levis; Glenn T. Gobbel; Rashmee U. Shah; Christine Goodrich; Iben Ricket; Freneka F. Minter; Andrew Bohm; Bruce E. Bray; et al. (J. Biomed. Informatics, 2021)

Broadening the reach of the FDA Sentinel system: A roadmap for integrating electronic health record data in a causal analysis framework. - Rishi J. Desai; Michael E. Matheny; Kevin Johnson; Keith Marsolo; Lesley H. Curtis; Jennifer C. Nelson; Patrick J. Heagerty; Judith C. Maro; Jeffrey S. Brown; Sengwee Toh; Michael D. Nguyen; Robert Ball; et al. (npj Digit. Medicine, 2021)

A Framework for Generating Synthetic Clinical Datasets with Learning Effects to Support Methods Development and Validation. - Sharon E. Davis; Henry Ssemaganda; Jejo Koola; Jialin Mao; Dax M. Westerman; Theodore Speroff; Usha Govindarajulu; Craig Ramsay; Lucila Ohno-Machado; Frederic S. Resnic; Michael E. Matheny (AMIA, 2022)

A Framework for Detecting Medical Device Safety Signals Confounded by Learning Effects Using Machine Learning. - Jejo D. Koola; Jialin Mao; Sharon E. Davis; Henry Ssemaganda; Dax M. Westerman; Lucila Ohno-Machado; Frederic S. Resnic; Michael E. Matheny (AMIA, 2022)

Can Data Science Move Medical Device Surveillance Forward? Highlights of Solutions and Remaining Challenges in Real-World Evidence Generation. - Michael E. Matheny; Art Sedrakyan; Omar Badawi; Danica Marinac-Dabic; Frederic S. Resnic (AMIA, 2022)

Disentangling and Characterizing Device Safety Signals and Learning Effects. - Henry Ssemaganda; Frederic S. Resnic; Sharon E. Davis; Usha Govindarajulu; Jejo Koola; Jialin Mao; Dax M. Westerman; Theodore Speroff; Craig Ramsay; Art Sedrakyan; Lucila Ohno-Machado; Michael E. Matheny (AMIA, 2022)

AUTO-PILOT: Development and Validation of a Tool to Extract Structured Data in Interfacility Transfer Paperwork. - Jesse O. Wrenn; Sara Lin; Jin Han; Ruth Reeves; Dax M. Westerman; Michael E. Matheny; Michael J. Ward (AMIA, 2022)

Open questions and research gaps for monitoring and updating AI-enabled tools in clinical settings. - Sharon E. Davis; Colin G. Walsh; Michael E. Matheny (Frontiers Digit. Health, 2022)

Toward Real-World Reproducibility: Verifying Value Sets for Clinical Research. - Scott L. DuVall; Craig G. Parker; Amanda R. Shields; Patrick R. Alba; Julie A. Lynch; Michael E. Matheny; Aaron W. C. Kamauu (MedInfo, 2023)

Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions. - Tsung-Ting Kuo; Anh Pham; Maxim E. Edelson; Jihoon Kim 001; Jason Chan; Yash Gupta; Lucila Ohno-Machado; David M. Anderson; Chandrasekar Balacha; Tyler Bath; Sally L. Baxter; Andrea Becker-Pennrich; et al. (J. Am. Medical Informatics Assoc., 2023)

A framework for understanding label leakage in machine learning for health care. - Sharon E. Davis; Michael E. Matheny; Suresh Balu; Mark P. Sendak (J. Am. Medical Informatics Assoc., 2023)

Inpatient nurses' preferences and decisions with risk information visualization. - Alvin D. Jeffery; Carrie Reale; Janelle Faiman; Vera Borkowski; Russ Beebe; Michael E. Matheny; Shilo Anders (J. Am. Medical Informatics Assoc., 2023)

Robin Hood: A De-identification Method to Preserve Minority Representation for Disparities Research. - James Thomas Brown; Ellen Wright Clayton; Michael E. Matheny; Murat Kantarcioglu; Yevgeniy Vorobeychik; Bradley A. Malin (PSD, 2024)

Sustainable deployment of clinical prediction tools - a 360° approach to model maintenance. - Sharon E. Davis; Peter J. Embí; Michael E. Matheny (J. Am. Medical Informatics Assoc., 2024)

Emerging algorithmic bias: fairness drift as the next dimension of model maintenance and sustainability. - Sharon E. Davis; Chad Dorn; Daniel J. Park; Michael E. Matheny (J. Am. Medical Informatics Assoc., 2025)

A machine learning framework to adjust for learning effects in medical device safety evaluation. - Jejo D. Koola; Karthik Ramesh; Jialin Mao; Minyoung Ahn; Sharon E. Davis; Usha Govindarajulu; Amy Perkins; Dax M. Westerman; Henry Ssemaganda; Theodore Speroff; Lucila Ohno-Machado; Craig Ramsay; et al. (J. Am. Medical Informatics Assoc., 2025)

Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm. - Jiayi Tong; Jenna Marie Reps; Chongliang Luo; Yiwen Lu; Lu Li; Juan Manuel Ramirez-Anguita; Milou T. Brand; Scott L. DuVall; Thomas Falconer; Alex Mayer Fuentes; Xing He 003; Michael E. Matheny; et al. (npj Digit. Medicine, 2025)

Detecting Opioid Use Disorder in Health Claims Data With Positive Unlabeled Learning. - Praveen Kumar; Fariha Moomtaheen; Scott A. Malec; Jeremy J. Yang; Cristian Bologa; Kristan Alexander Schneider; Yiliang Zhu 001; Mauricio Tohen; Gerardo Villarreal; Douglas J. Perkins; Elliot M. Fielstein; Sharon E. Davis; et al. (IEEE J. Biomed. Health Informatics, 2025)

Large Language Models in Healthcare. - Mohammed Ali Al-Garadi; Tushar Mungle; Abdulaziz Ahmed; Abeed Sarker; Zhuqi Miao; Michael E. Matheny (CoRR, 2025)